Using aws dynamodb with kendra

Question

Pulumi · Accepted Answer

When using AWS DynamoDB with AWS Kendra, you would typically have DynamoDB hold your data and Kendra to index that data for search. Pulumi allows you to define both resources and set up the appropriate permissions and configurations for them to work together.

Below is a Pulumi program written in TypeScript that demonstrates how to create a DynamoDB table and a Kendra Index. After the resources are created, you would need to populate the DynamoDB table with your data and set Kendra to index the data from DynamoDB.

This example covers:
- Setting up a DynamoDB table with a simple primary key.
- Creating a Kendra Index.
- Granting necessary permissions to Kendra to access the DynamoDB table.

Let's see how you can do this with Pulumi:

```typescript
import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";

// Create an AWS DynamoDB table
const dynamodbTable = new aws.dynamodb.Table("my-dynamodb-table", {
    attributes: [
        {
            name: "id", // Replace with your attribute name
            type: "S",   // "S" for string, "N" for number, "B" for binary
        },
    ],
    hashKey: "id",   // Set to your attribute name
    billingMode: "PAY_PER_REQUEST",
});

// Create an AWS Kendra Index
const kendraIndex = new aws.kendra.Index("my-kendra-index", {
    edition: "DEVELOPER_EDITION", // Choose DEVELOPER_EDITION or ENTERPRISE_EDITION
    roleArn: "arn:aws:iam::123456789012:role/service-role/AmazonKendra-index", // Replace with the correct ARN
    description: "Index for searching DynamoDB content",
});

// Output the IDs of the created resources
export const dynamodbTableId = dynamodbTable.id;
export const kendraIndexId = kendraIndex.id;
```

In this program:
- `aws.dynamodb.Table`: This resource is used to create a new DynamoDB table. You can customize the `attributes` and `hashKey` properties according to your data schema. The `billingMode` is set to `PAY_PER_REQUEST`, which is a flexible billing option capable of serving thousands of requests per second without capacity planning.
  - [DynamoDB Table Pulumi Documentation](https://www.pulumi.com/registry/packages/aws/api-docs/dynamodb/table/)
- `aws.kendra.Index`: This resource creates a Kendra Index you can use to perform searches. The `edition` can be either `DEVELOPER_EDITION` for basic use cases or `ENTERPRISE_EDITION` for more advanced scenarios.
  - [Kendra Index Pulumi Documentation](https://www.pulumi.com/registry/packages/aws/api-docs/kendra/index/)

Make sure to replace the placeholder `arn:aws:iam::123456789012:role/service-role/AmazonKendra-index` with the ARN of an IAM role that has the necessary permissions to access the DynamoDB table and perform indexing operations.

After deploying these resources with Pulumi, the next steps would include configuring Kendra with details about how to access and index the DynamoDB table's data. This can involve creating data sources and FAQs in Kendra, as well as setting up data synchronization.

Remember, you can review AWS's tutorials and documentation for more detailed steps to configure Kendra to fetch data from DynamoDB after the creation of these foundational resources.